The
Sample Complexity of Search over Multiple Populations, M.
Malloy, G. Tang and R. Nowak
Query
Complexity of Derivative-Free Optimization, K. Jamieson, R.
Nowak and B. Recht
Socioscope:
Spatio-Temporal Signal Recovery from Social Media, J-M. Xu,
A. Bhargava, R.
Nowak and X. Zhu
Sequentially
Designed Compressed Sensing, J. Haupt, R. Baraniuk, R.
Castro and R.
Nowak
Near-Optimal
Compressive Binary Search, M. Malloy and R.
Nowak
Quickest
Search for a Rare Distribution, M. Malloy, G. Tang, and R.
Nowak
Minimax-Optimal
Bounds for Detectors Based on Estimated Prior Probabilities,
J. Jiao, L. Zhang, and R. Nowak
Cross
Validation for Selection of Cortical Interaction Models From Scalp EEG
or MEG, P. Cheung, R. Nowak, H. Lee, W. van Drongelen and B.
Van Veen
High Rank Matrix Completion and
Subspace Clustering with Missing Data,
B. Eriksson, L. Balzano, and R. Nowak
Active
Ranking using Pairwise
Comparisons,
K. Jamieson and R. Nowak
Active
Ranking in Practice,
K. Jamieson and R. Nowak
On the Limits of Sequential Testing in High
Dimensions,
M. Mally and R. Nowak
Sequential
Analysis in High-Dimensional Multiple Testing and Sparse Recovery,
M. Malloy and R. Nowak
Low-Dimensional
Embedding using Adaptively Selected Ordinal Data,
K. Jamieson and R. Nowak
Empirical
Comparison of Full-Wavform Lidar Algorithms, C. Parrish, I.
Jeong, R. Nowak, and R. Smith
Tight Measurement Bounds for Exact
Recovery of Structured Sparse Signals, N. Rao, R. Nowak and
B. Recht
Convex
approaches to model wavelet sparsity patterns, N. Rao, N.
Kingsbury, S. Wright and R. Nowak
On
the Success of Network Inference using a Markov Routing Model,
L. Balzano, R. Nowak, M. Roughan
Active
Clustering: Robust and Efficient Hierarchical Clustering Using
Adaptively Selected Similarities, B. Eriksson, G. Dasarathy,
A. Singh and R. Nowak
CODE: MATLAB
code is
available here
2010
Using
Machines to Improve Human Saliency Detection, N. Rao, J.
Harrison, T. Karrels, R. Nowak and T. Rogers, Asilomar 2010.
Causal
Network Inference via Group Sparsity Regularization, A.
Bolstad, B. Van Veen and R. Nowak.
Adaptive
Sensing for Sparse Recovery, J. Haupt and R. Nowak.
Transduction
with Matrix Completion: Three Birds with One Stone, A.
Goldberg, X. Zhu, B. Recht, J. Xu, and R. Nowak, NIPS 2010.
Sparse Interactions: Identifying
High-Dimensional Multilinear Systems via Compressed Sensing, B.
Nazer and R. Nowak, Allerton 2010.
Online
Identification and Tracking of Subspaces from Highly Incomplete
Information, L. Balzano, R. Nowak and B. Recht, Allerton 2010.
CODE: MATLAB
code is
available here
Sample
Complexity for 1-bit Compressed Sensing and Sparse Classification, A.
Gupta, B. Recht and R. Nowak, ISIT 2010.
Detecting Weak but
Hierarchically-Structured Patterns in Networks, A.
Singh, R. Calderbank and R. Nowak, AISTATS 2010.
Distilled
Sensing: Adaptive Sampling for Sparse Detection and Estimation, J.
Haupt, R. Castro and R. Nowak, submitted 2010.
High
Dimensional Matched Subspace Detection When Data are Missing,
L. Balzano, B. Recht and R. Nowak, ISIT 2010.
CODE: MATLAB
code is
available here
A
Learning-Based Approach to IP Geolocation, B.
Eriksson, P. Barford, J. Sommers and R. Nowak, PAM 2010.
Toward the
Practical Use of Network Tomography for Internet Topology Discovery, B.
Eriksson, G. Dasarathy, P. Barford and R. Nowak, Infocom 2010.
2009
Compressive
Distilled Sensing, J.
Haupt, R. Baraniuk, R. Castro and R. Nowak, Asilomar 2009.
Active
Sensing, R. Castro and R. Nowak.
The
Geometry of Generalized Binary Search
A
Restricted Isometry Property for Structurally-Subsampled Unitary
Matrices, W. Bajwa, A. Sayeed and R. Nowak, Allerton 2009.
Distilled
Sensing: Selective Sensing for Sparse Signal Recovery, J.
Haupt, R. Castro and R. Nowak, AISTATS 2009.
Compressed
Channel Sensing, W. Bajwa, J. Haupt, A. Sayeed, R. Nowak,
Proc. IEEE, submitted 2009.
Estimating
Hop Distance Between Arbitrary Host Pairs, B. Eriksson, P.
Barford, R. Nowak, IEEE Infocom 2009.
Multi-Manifold Semi-Supervised
Learning, A. Goldberg, X. Zhu, A. Singh, Z. Xu and R. Nowak,
AISTATS 2009.
2008
Generalized
Binary Search, Allerton 2008.
Learning
Sparse Doubly-Selective Channels, W. Bajwa, A. Sayeed and R.
Nowak, Allerton 2008 (extended tech report here).
An
Improved Approach to Lidar Airport Obstruction Surveying
Using Full-Waveform Data,
C. Parrish and R.
Nowak, J. Surveying Engr. 2008.
Unlabeled
data: Now it helps, now it doesn't, A. Singh, X. Zhu and R.
Nowak, NIPS 2008 (extended tech report here).
Human Active
Learning, R. Castro, C. Kalish, R. Nowak, R. Qian, T. Rogers
and X. Zhu, NIPS 2008.
Toeplitz
Compressed Sensing Matrices with Applications to Sparse Channel
Estimation, J. Haupt, W. Bajwa, G. Raz and R.
Nowak, submitted.
Network Discovery from Passive
Measurement, B. Eriksson, P. Barford and R.
Nowak, ACM SIGCOMM '08.
Learning
Bigrams from Unigrams, X. Zhu, A. Goldberg, M. Rabbat and R.
Nowak, ACL '08.
Controlling
the Error in fMRI: Hypothesis Testing or Set Estimation?, Z.
Harmany, R. Willett, A. Singh and R. Nowak, ISBI '08.
Finding
Needles in Noisy Haystacks, J. Haupt, R. Castro, and R.
Nowak, ICASSP '08.
Sparse Reconstruction by Separable
Approximation, S. Wright, R. Nowak and M. Figueiredo,
submitted to IEEE TSP.
Learning
to Satisfy, F. Thouin, M. Coates, B. Erikkson, R. Nowak, and
C.Scott, ICASSP '08.
Compressed
Channel Sensing, W. Bajwa, J. Haupt, G. Raz and R.
Nowak, CISS '08.
Space-Time
Sparse Reconstruction for Magneto-/Electroencephalography,
A. Bolstad, B. Van Veen
and R. Nowak, submitted to NeuroImage.
2007
Compressed
Sensing for Networked Data, J. Haupt, W. Bajwa, M. Rabbat,
and R. Nowak, to appear in the IEEE Signal Processing Magazine.
Learning Network Structure from
Passive Measurements, B. Eriksson, P. Barford, R.
Nowak and M. Crovella, IMC '07.
Characterizing decoding robustness
under parametric channel uncertainty, J. Wierer, W. Bajwa,
N. Boston and R. Nowak, Allerton '07.
Adaptive
Hausdorff Estimation of Density Level Sets, A. Singh, C.
Scott and R. Nowak, submitted to the Annals of Statistics..
Toeplitz-Structured
Compressed Sensing Matrices, W. Bajwa, J. Haupt, G. Raz, S.
Wright and R. Nowak, IEEE SSP 2007 Workshop.
Joint
Source-Channel Communication for Distributed Estimation in Sensor
Networks, W. Bajwa, J. Haupt, A. Sayeed and R. Nowak,
to
appear in IEEE Trans. Info. Th.
Minimax
Bounds for Active Learning, R. Castro and R.
Nowak, submitted to IEEE Trans. Info. Th.,
shorter version appeared at
COLT 2007 (COLT paper, Errata)
Blind
Calibration of Sensor Networks, L. Balzano and R.
Nowak, to appear at IPSN 2007.
(extended version, UCLA
Technical Report )
Gradient
Projection for Sparse Reconstruction: Applications to Compressed
Sensing and Other Inverse Problems,
M. Figueiredo, R. Nowak and S. Wright. CODE: MATLAB
code is
available here
Genomic
Network Tomography, M. Rabbat, M. Figueiredo and R. Nowak,
to appear at ICASSP 2007.
Majorization-Minimization
Algorithms for Wavelet-Based Image Restoration, M.
Figueiredo, J. Bioucas-Dias, and R. Nowak.
2006
Upper
and Lower Bounds for Active Learning, R. Castro, and R.
Nowak,
in Proceedings
of the 44th Annual Allerton Conference on Communication, Control and
Computing,
2006.
Network
Inference from Co-Occurrences, M. Rabbat, M.
Figueiredo, and R.
Nowak, submitted to the IEEE Transactions on Information Theory
(extended version, UW-Madison Technical Report ECE-06-2)
de Novo
signaling pathway reconstruction from multiple data sources, D.
Zhu, M. Rabbat, A. O. Hero, R. Nowak, M. Figuieredo,
in
New research on signal transduction, Ed. F. Columbus , Nova
Publishing, 2006.
Multiple
Source Internet Tomography, M. Rabbat, M. Coates, and R.
Nowak, IEEE Journal on Selected Areas in
Communications.
Compressed Sensing vs. Active Learning, R.
Castro, J. Jaupt and R.
Nowak, ICASSP 2006, Toulouse, France.
Minimax
Optimal Level Set Estimation, R. Willett and R.
Nowak, submitted to IEEE Transactions on Image Processing.
Compressive Wireless Sensing, W. Bajwa, J.
Haupt, A Sayeed, and R. Nowak, IPSN 2006, Nashville, TN.
Decentralized Compression and
Predistribution via Randomized Gossip, M. Rabbat, J. Haupt, A.
Singh, and R. Nowak, , IPSN 2006, Nashville, TN.
Active Learning for Adaptive Mobile
Sensing Networks, A. Singh, R. Nowak and P. Ramanathan, , IPSN
2006, Nashville, TN.
2005
Learning
Minimum Volume Sets, C. Scott and R.
Nowak, to appear in JMLR (also see UW-Madison Technical Report
ECE-05-02).
Shorter conference
paper, Neural Information Processing Systems (NIPS) 2005.
Faster Rates
in Regression via Active Learning, R. Castro, R. Willett and R.
Nowak, University of Wisconsin Technical Report
ECE-05-03.
Shorter conference
paper, Neural Information Processing Systems (NIPS) 2005.
Signal
Reconstruction from Noisy Random Projections, J. Haupt and R.
Nowak, to appear in IEEE Trans. Info. Theory.
Shorter conference paper,
IEEE Statistical Signal Processing Workshop, Bordeaux, France, July
2005.
Robust Contour Matching via the Order Preserving
Assignment Problem, C. Scott and R.
Nowak, to appear in IEEE Trans. on Image Processing..
Matched
Source-Channel Communication for Field Estimation in Wireless Sensor
Networks, W. Bajwa, A. Sayeed and R. Nowak, IPSN 2005, Los
Angeles, CA
2004
Network
Tomography: Recent Developments, R. Castro, M. Coates, G.
Liang, R. Nowak, B. Yu, Statistical
Science, 2004.
A Neyman-Pearson Approach to Statistical Learning,
C. Scott and R. Nowak.
Quantized Incremental Algorithms for Distributed
Optimization, M. Rabbat and R. Nowak, to appear in JSAC
Distributed Collaborative Sensor Networks.
Network Radar: Tomography from Round Trip Time
Measurements, Y. Tsang, M. Yildiz, P. Barford and R. Nowak, ACM
IMC, October, 2004 .
Backcasting: Adaptive Sampling for Sensor
Networks, R. Willett, A. Martin, and R. Nowak, IPSN 2004,
Berkeley, CA.
Likelihood Based Hierarchical Clustering,
R. Castro and R. Nowak, IEEE Transactions on Signal Processing, 2004.
Distributed Optimization in Sensor Networks,
M. Rabbat and R. Nowak, IPSN 2004, Berkeley, CA.
Multiple Source, Multiple Destination
Network Tomography, M. Rabbat, M. Coates, and R. Nowak, IEEE
Infocom, 2004.
Estimating Inhomogeneous Fields Using Wireless
Sensor Networks, R. Nowak, U. Mitra, and R. Willett, IEEE
Journal on Selected Areas in Communications, 2004.
TEMPLAR: A Wavelet-Based Framework for
Pattern Learning and Analysis, C. Scott and R. Nowak, IEEE
Transactions on Signal Processing, 2004.
2003
Near-Minimax Optimal Classification with Dyadic
Classification Trees, C. Scott and R. Nowak, Neural Information
Processing Systems (NIPS), 2003.
Multiscale Density Estimation,
R. Willett and R. Nowak, Rice University Technical Report TREE 0303.
Multiscale Generalized Linear
Models for Nonparametric Function
Estimation, E. Kolaczyk and R. Nowak, submitted to Biometrika,
2003.
Network Delay Tomography, Y. Tsang,
M. Coates, and R. Nowak, to appear in IEEE Transactions
on Signal Processing, Special Issue on Signal Processing in Networking,
2003.
Distributed EM Algorithms for Density
Estimation and Clustering in Sensor Networks, R. Nowak, to
appear in IEEE Transactions on Signal Processing, Special Issue on
Signal Processing in Networking, 2003.
An EM Algorithm
for Wavelet-Based Image Restoration, M. Figueiredo and R.
Nowak, IEEE Transactions on Image
Processing, vol.12,
no.8, pp. 906-916, August 2003.
2002
Multiscale Likelihood Analysis and Complexity
Penalized Estimation, E. D. Kolaczyk and R. D. Nowak, to appear
in the Annals of Statistics, 2003.
Dyadic Classification Trees via Structural Risk
Minimization, C. Scott and R. Nowak, Neural Information
Processing Systems 2002.
Multiresolution nonparametric intensity and
density estimation, Willett, R.M.; Nowak, R.D., 2002 IEEE
International Conference on Acoustics, Speech, and Signal Processing,
Volume: 2 , 2002 Page(s): 1493 -1496
Maximum Likelihood Network Topology
Identification from Edge-Based Unicast Measurements,
M. Coates, R. Castro and R. Nowak, to appear in ACM Sigmetric 2002,
Marina Del Rey, California, June 2002.
Internet Tomography, M. Coates, A. Hero,
R. Nowak and B. Yu, in IEEE Signal Processing Magazine, May 2002.
2001
Wavelet-based image estimation: an empirical
Bayes approach using Jeffrey's noninformative prior , Figueiredo,
M.A.T.; Nowak, R.D. IEEE Transactions on Image Processing, Volume: 10
Issue: 9 , Sept. 2001 Page(s): 1322 -1331
Unicast Network Tomography Using the EM
Algorithm , R. Nowak and M. Coates, submitted to IEEE
Transactions on Information Theory, December 2001.
Nonparametric Estimation of Internal Delay
Densities from Unicast End-to-end Measurement , M. Coates, R.
Nowak and Y. Tsang, Technical Report TREE0106, Department of Electrical
and Computer Engineering, Rice University, Oct, 2001.
Platelets: A Multiscale Approach for
Recovering Edges and Surfaces in Photon Limited Medical Imaging,
R. Willett and R. Nowak, submitted to the IEEE Transactions on Medical
Imaging, September 2001.
Sequential Monte Carlo Inference
of Internal Delays in Nonstationary Communication Networks, M.
Coates and R. Nowak, IEEE Transactions on Signal Processing, Volume: 50
Issue: 2 , Feb. 2002 Page(s): 366 -376
Template learning from atomic
representations: A wavelet-based approach to pattern analysis,
C. Scott and R. D. Nowak, Second International Workshop on Statistical
and Computational Theories of Vision -- Modeling, Learning, Computing,
and Sampling, Vancouver, Canada, July 13, 2001.
2000
A Multiresolution Theory for Likelihoods:
Theory and Methods, E. D. Kolaczyk and R. D. Nowak, Rice
University Technical Report TREE0006, November 2000.
A Statistical Multiscale Framework for Poisson
Inverse Problems, R. D. Nowak and E. D. Kolaczyk, IEEE
Information Theory, August 2000.
Network Inference from Passive Unicast
Measurements, Mark Coates and Robert Nowak, Rice University,
ECE Department Technical Report TR-0002.
1999
Multiscale Hidden Markov Models for Bayesian Image
Analysis, R. D. Nowak, in Bayesian Inference in Wavelet Based
Models.
Wavelet-based Rician noise removal for magnetic
resonance imaging , Nowak, R.D., IEEE Transactions on Image
Processing, Volume: 8 Issue: 10 , Oct. 1999 Page(s): 1408 -1419
Wavelet-domain filtering for photon imaging
systems ,
Nowak, R.D.; Baraniuk, R.G., IEEE Transactions on Image Processing,
Volume: 8 Issue: 5 , May 1999 Page(s): 666 -678
Wavelet-based transformations for nonlinear signal
processing , Nowak, R.D.; Baraniuk, R.G., IEEE Transactions on
Signal Processing, Volume: 47 Issue: 7 , July 1999 Page(s): 1852 -1865
Generalized likelihood ratio detection
for fMRI using complex data , Nan, F.Y.; Nowak, R.D., IEEE
Transactions on Medical Imaging, Volume: 18 Issue: 4 , April 1999
Page(s): 320 -329
Multiscale modeling and estimation of Poisson
processes with
application to photon-limited imaging, Timmermann, K.E.;
Nowak, R.D., IEEE Transactions on Information Theory, Volume: 45
Issue: 3 , April 1999 Page(s): 846 -862
1998
Weighted Highpass Filters Using Multiscale Analysis,
R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Image
Processing.
Wavelet-Based Statistical Signal Processing Using
Hidden Markov Models,
M. S. Crouse, R. D. Nowak and R. G. Baraniuk, appeared in IEEE
Transactions on Signal Processing.
Wavelet-Based Transformations for Nonlinear Signal
Processing,
R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal
Processing.
1997
Optimal Signal Estimation Using Cross-Validation, R. D.
Nowak, IEEE Signal Processing Letters, vol. 4, no. 1, January 1997.